Justin Foong

1.6k total citations
12 papers, 1.1k citations indexed

About

Justin Foong is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Epidemiology. According to data from OpenAlex, Justin Foong has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Justin Foong's work include Neonatal and fetal brain pathology (7 papers), Infant Development and Preterm Care (4 papers) and Preterm Birth and Chorioamnionitis (2 papers). Justin Foong is often cited by papers focused on Neonatal and fetal brain pathology (7 papers), Infant Development and Preterm Care (4 papers) and Preterm Birth and Chorioamnionitis (2 papers). Justin Foong collaborates with scholars based in Canada, United States and Switzerland. Justin Foong's co-authors include Nicholas J. Provart, Olivia Wilkins, Malcolm M. Campbell, Hardeep K. Nahal-Bose, Steven P. Miller, Vann Chau, Anne Synnes, Ruth E. Grunau, Emma G. Duerden and Ting Guo and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and PEDIATRICS.

In The Last Decade

Justin Foong

12 papers receiving 1.1k citations

Peers

Justin Foong
Aline Charpagne Switzerland
Stephen A. Fleming United States
A. Uribe Sweden
S J Wallace United Kingdom
Ghazala Begum United Kingdom
Shannon Haley United States
Justin Foong
Citations per year, relative to Justin Foong Justin Foong (= 1×) peers Rodrigo Sandoval

Countries citing papers authored by Justin Foong

Since Specialization
Citations

This map shows the geographic impact of Justin Foong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Justin Foong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Foong more than expected).

Fields of papers citing papers by Justin Foong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Foong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Justin Foong. The network helps show where Justin Foong may publish in the future.

Co-authorship network of co-authors of Justin Foong

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Foong. A scholar is included among the top collaborators of Justin Foong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin Foong. Justin Foong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Chau, Vann, Ruth E. Grunau, Anne Synnes, et al.. (2018). Multiple Postnatal Infections in Newborns Born Preterm Predict Delayed Maturation of Motor Pathways at Term-Equivalent Age with Poorer Motor Outcomes at 3 Years. The Journal of Pediatrics. 196. 91–97.e1. 32 indexed citations
2.
Duerden, Emma G., Ting Guo, Justin Foong, et al.. (2018). White matter injury predicts disrupted functional connectivity and microstructure in very preterm born neonates. NeuroImage Clinical. 21. 101596–101596. 29 indexed citations
3.
Schneider, Juliane, Céline J. Fischer Fumeaux, Emma G. Duerden, et al.. (2018). Nutrient Intake in the First Two Weeks of Life and Brain Growth in Preterm Neonates. PEDIATRICS. 141(3). 106 indexed citations
4.
Duerden, Emma G., Ruth E. Grunau, Ting Guo, et al.. (2017). Early Procedural Pain Is Associated with Regionally-Specific Alterations in Thalamic Development in Preterm Neonates. Journal of Neuroscience. 38(4). 878–886. 182 indexed citations
5.
Chau, Vann, Jane Gardiner, Justin Foong, et al.. (2017). Severe retinopathy of prematurity predicts delayed white matter maturation and poorer neurodevelopment. Archives of Disease in Childhood Fetal & Neonatal. 102(6). F532–F537. 66 indexed citations
6.
Foong, Justin, et al.. (2016). An MRspec database query and visualization engine with applications as a clinical diagnostic and research tool. Molecular Genetics and Metabolism. 119(4). 300–306. 3 indexed citations
7.
Tam, Emily, Vann Chau, A. James Barkovich, et al.. (2016). Early postnatal docosahexaenoic acid levels and improved preterm brain development. Pediatric Research. 79(5). 723–730. 73 indexed citations
8.
Foong, Justin, Marta Gîrdea, James Stavropoulos, & Michael Brudno. (2015). Prioritizing Clinically Relevant Copy Number Variation from Genetic Interactions and Gene Function Data. PLoS ONE. 10(10). e0139656–e0139656. 6 indexed citations
9.
Duerden, Emma G., Justin Foong, Vann Chau, et al.. (2015). Tract-Based Spatial Statistics in Preterm-Born Neonates Predicts Cognitive and Motor Outcomes at 18 Months. American Journal of Neuroradiology. 36(8). 1565–1571. 54 indexed citations
10.
Buske, Orion J., Misko Dzamba, Justin Foong, et al.. (2011). Variant detection and the Autism sequencing project. BMC Bioinformatics. 12(S11). 3 indexed citations
11.
Wilkins, Olivia, Hardeep K. Nahal-Bose, Justin Foong, Nicholas J. Provart, & Malcolm M. Campbell. (2008). Expansion and Diversification of thePopulusR2R3-MYB Family of Transcription Factors    . PLANT PHYSIOLOGY. 149(2). 981–993. 435 indexed citations
12.
Bassel, George W., Pauline Fung, Tsz-fung F. Chow, et al.. (2008). Elucidating the Germination Transcriptional Program Using Small Molecules    . PLANT PHYSIOLOGY. 147(1). 143–155. 101 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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